Tushar Kendre

Senior Software Engineer building scalable backend systems, cloud-native platforms, and reliable product delivery.

SDE II with 5+ years of experience designing multi-tenant systems, configurable rules engines, and ML-driven document processing pipelines on AWS.

I partner across engineering and product to ship maintainable APIs and distributed services with strong observability, predictable performance, and infrastructure automation.

Portrait of Tushar Kendre

System Mindset

Design for change

I build multi-tenant systems and rules engines that stay configurable as product requirements evolve.

Reliability first

I optimize for uptime, observability, and predictable performance with strong API design, schema choices, and cloud-native deployment.

Product-aware execution

I balance engineering depth with delivery: clear milestones, measurable outcomes, and systems that teams can maintain long-term.

Experience Timeline

Jan 2025 – Present

Software Development Engineer II · Patient First.AI

  • Architected and led a multi-tenant vaccination compliance platform serving 10+ universities and 50,000+ student records.
  • Designed a configurable rules engine supporting 100+ compliance policies with dynamic evaluation workflows.
  • Built scalable Fastify APIs, optimized PostgreSQL schemas, and implemented OCR + ML extraction with 95%+ structured accuracy.
  • Owned CI/CD and IaC with GitHub Actions and Terraform; deployed on AWS ECS/Lambda with 99.9%+ uptime.

July 2024 – Dec 2024

Desktop Support Assistant · Boston University

  • Designed and deployed a lab access control system with Golang, PHP, and MariaDB across 10+ engineering labs.
  • Integrated real-time authentication and hardware triggers to strengthen policy enforcement and reduce unauthorized access.
  • Owned end-to-end deployment and operational support for campus-wide lab access workflows.

Oct 2020 – Dec 2023

Software Development Engineer · Brainwave Science Inc.

  • Led development of distributed EEG-based ML systems using FastAPI, Airflow, Snowflake, and AWS SageMaker.
  • Optimized real-time inference pipelines, reducing latency by 70% and hardware footprint by 60%.
  • Designed containerized microservices with Docker, Kubernetes, and AWS EC2 for production delivery.
  • Managed and mentored a 10-engineer team shipping AI systems for NIA (India) and Dubai Police.

Selected Builds

rcube-js project preview

rcube-js

In-browser NxN Rubik's Cube simulator with scalable cube-state modeling and GPU-accelerated 3D transformations for smooth real-time interaction.

ReactThree.jsWebGL
View on GitHub

Resume Analyzer

NLP-driven resume analysis tool for entity extraction, topic modeling, and skill-gap visualization with actionable scoring and recommendations.

FastifyReactSpaCyLDA
View on GitHub

Online SSVEP-Based Robot Controller

Real-time SSVEP-based BCI system using adaptive Riemannian geometry for autonomous robot control, validated on live EEG experiments.

BCI Meeting 202199.1% AccuracyStudent Award
View abstract (PDF)

Education

Jan 2024 – May 2025

MS in Computer Science · Boston University

Coursework: Analysis of Algorithms, Computer Architecture, Operating Systems, Software Engineering, Computer Networks.

July 2016 – Oct 2020

B.Tech in Aerospace Engineering · IIT Kanpur

Coursework: Data Structures and Algorithms, Neural Networks, Autonomous Navigation, Image Processing.

Skills in Context

Built with

Python, JavaScript/TypeScript, Golang, C++, React, Three.js, Fastify, FastAPI.

Shipped with

AWS ECS/Lambda/EC2/SageMaker, PostgreSQL, Docker, Kubernetes, GitHub Actions, Terraform, Airflow.

Scaled with

Distributed systems, REST APIs, Snowflake, NLP pipelines, PyTorch, TensorFlow, HuggingFace, observability-first design.

Things I Do for Fun

Piano

Late evenings, I usually sit at the piano and play whatever feels right that day. It's one of my favorite ways to reset.

Warhammer 40k Mini Painting

I can spend hours painting one miniature—especially Dark Angels. I love trying color tones, fixing tiny details, and slowly seeing a full character come together.

Cooking

Cooking is my weekend ritual. I like trying new recipes, changing them halfway, and seeing what fun version comes out.

Card-Based Game Design

I keep a notebook of card game ideas—strange mechanics, wild combos, and little worlds I'd want to play with friends.

Publications & Awards

Publication

Comparative Performance Analysis of Scalp EEG and Ear EEG based P300 Ambulatory Brain-Computer Interfaces using Riemannian Geometry and Convolutional Neural Network.

Vartika Gupta, Tushar P. Kendre, Tharun Kumar Reddy, Vipul Arora · July 2020

DOI: 10.1109/NCC55593.2022.9806815

Award

Student award at BCI Meeting 2021 for building an online SSVEP-based robot controller, achieving 99.1% accuracy on live EEG data.

Contact CTA

If you're building a backend-heavy product and want reliable systems with clean execution, I'd love to collaborate.